Joint fading coefficient and DOA estimation with known waveforms in multipath environment

Author

Liu, Chunjing

Author_Institution

East China Res. Inst. of Electron. Eng., Hefei, China

Volume

2

fYear

2011

fDate

24-27 Oct. 2011

Firstpage

1147

Lastpage

1152

Abstract

We consider maximum likelihood (ML) estimation of the direction of arrival (DOA) and fading coefficients in multipath environment when the incident signal have known waveforms. A efficient iterative algorithm based on alternating maximization technique has been presented and Cramér-Rao bound (CRB) for ML estimator is also obtained. Finally, numerical examples are illustrated to assess the performance of the proposed ML estimator and make comparisons with existing alternatives.

Keywords

direction-of-arrival estimation; iterative methods; maximum likelihood estimation; optimisation; CRB; Cramér-Rao bound; DOA estimation; ML estimation; alternating maximization technique; direction of arrival estimation; iterative algorithm; joint fading coefficient; maximum likelihood estimation; multipath environment; Covariance matrix; Direction of arrival estimation; Fading; Maximum likelihood estimation; Signal to noise ratio; Vectors; Array signal processing; direction of arrival (DOA) estimation; fading coefficient; multipath;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar (Radar), 2011 IEEE CIE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8444-7

Type

conf

DOI

10.1109/CIE-Radar.2011.6159756

Filename

6159756